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» Modeling Relational Data by the Adjacency Model
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ICML
2007
IEEE
16 years 5 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 10 months ago
Simple Estimators for Relational Bayesian Classifiers
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
Jennifer Neville, David Jensen, Brian Gallagher
SP
1991
IEEE
15 years 8 months ago
A Novel Decomposition of Multilevel Relations into Single-Level Relations
In this paper we give a new decomposition algorithm that breaks a multilevel relation into single-level relations and a new recovery algorithmwhich reconstructs the original multi...
Sushil Jajodia, Ravi S. Sandhu
ICIP
2008
IEEE
16 years 6 months ago
Photon-limited image denoising by inference on multiscale models
We present an improved statistical model of Poisson processes, with applications in photon-limited imaging. We build on previous work, adopting a multiscale representation of the ...
Stamatios Lefkimmiatis, George Papandreou, Petros ...
ARTMED
2006
85views more  ARTMED 2006»
15 years 4 months ago
Using ontologies linked with geometric models to reason about penetrating injuries
Medical assessment of penetrating injuries is a difficult and knowledge-intensive task. Physical examination and computed tomographic (CT) imaging data must be combined with detai...
Daniel L. Rubin, Olivier Dameron, Yasser Bashir, D...